<p>The article presents an attitude formation model that enables the analysis of individual behavioral patterns in complex social systems. The proposed model is based on dynamic systems and considers the balance between the decision-making rationality and utility. The concept of a harmony index is introduced, describing the interaction between internal and external factors, as well as a rationality function, which determines the alignment degree between decisions and an individual’s cognitive predispositions. Special attention is given to the influence of the informational environment on the decision-making process, which is modeled through an entropy-based approach to analyzing informational noise and manipulations. A mathematical description of attitude adaptation is provided, and a logistic model of attitude change under the influence of external factors is proposed. The study has practical significance for predicting social group behavior, assessing the stability of social systems, and investigating the mechanisms of informational influence.</p>